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LogicBombaklot
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
LogicBombaklot
Model Tree
Qwen/Qwen3.6-27B
Input Modalities
Output Modalities
Supported Functionality
By deepening the model architecture and training the model with bi-directional logical reasoning, the model unlocks advanced cognitive and logical processing flows. It evaluates problems from multiple angles and revisits context iteratively, making it exceptionally powerful for complex problem-solving, multi-step logical deductions, and operating within autonomous agent frameworks.
This is a reasoning-heavy model. Please set your thinking budget to at least 8,192 tokens, and 16,384 tokens if working on a complex or difficult agentic, math, or coding workload.
For precise coding and logic tasks, we highly recommend the following base sampling parameters: